Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this with "opens nothing by itself" and discloses the actual return content (step-by-step screens, buttons, fields), which is meaningful beyond the annotations. The dated API claim ("checked 23 Oct 2026") is a volatile fact that adds little and may age poorly.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded, but the sentence is padded with audience boilerplate ("from ChatGPT, Claude or any AI agent") and an API-availability aside with a check date that does not help an agent decide or invoke. The core instruction could be conveyed in roughly half the words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description supplies the key missing detail: the return value is procedural instructions, not a mutation result. It also names the follow-up tool family needed to actually complete the task, which is sufficient for a zero-arg guidance tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4. The description correctly implies no input is required and focuses instead on what the call yields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Add learner to waitlist") scoped to "the user's own Thought Industries account," and immediately clarifies that the tool produces step-by-step guidance rather than performing the action. The distinction from the sibling enroll/set_status tools is implied by the waitlist target but never explicitly contrasted.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a clear two-phase usage model: call this tool to get the screens/buttons/fields, then execute with the cotlet_browser_* tools. No explicit exclusions are given (e.g., when to prefer thought_industries_enroll_learner_in_course or a direct API path), so it falls short of full when/when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.